Classifying political orientation on Twitter: It's not easy!

Proceedings of the 7th International Conference on Weblogs and Social Media, ICWSM 2013

Volumn , Issue , 2013, Pages 91-99

  Cohen, Raviv ^a   Ruths, Derek ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY LEVEL; DATA COLLECTION; POLITICAL ORIENTATION;

SOCIAL NETWORKING (ONLINE);

EID: 84900461560     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Blei, D. M.; Ng, A. Y.; and Jordan, M. I. 2003. Latent dirichlet allocation. Journal of Machine Learning Research 3:993-1022.
2. Buhrmester, M.; Kwang, T.; and Gosling, S. D. 2011. Amazon's mechanical turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science 6(1):3-5.
3. Burger, J.; Henderson, J.; and Zarrella, G. 2011. Discriminating gender on twitter. In Proceedings of the Conference on Empirical Methods in Natural Language Processing.
4. Chang, C., and Lin, C. 2011. LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology 2:27:1-27:27.
5. Conover, M.; Goncalves, B.; Ratkiewicz, J.; Flammini, A.; and Menczer, F. 2011a. Political polarization on twitter. In Proceedings of the International Conference on Weblogs and Social Media.
6. Conover, M.; Goncalves, B.; Ratkiewicz, J.; and Flammini, A. 2011b. Predicting the political alignment of twitter users. In Proceedings of the International Conference on Social Computing.
7. Golbeck, J., and Hansen, D. 2011. Computing political preference among twitter followers. In Proceedings of Conference on Human factors in computing systems.
8. Liu, W., and Ruths, D. 2013. What's in a name? using first names as features for gender inference in twitter. In Symposium on Analyzing Microtext.
9. Pennacchiotti, M., and Popescu, A. 2011. A Machine Learning Approach to Twitter User Classification. In Proceedings of the International Conference on Weblogs and Social Media.
10. Ramage, D.; Hall, D.; Nallapati, R.; and Manning, C. D. 2009. Labeled lda: a supervised topic model for credit attribution in multi-labeled corpora. In The Conference on Empirical Methods in Natural Language Processing.
11. Ramage, D.; Dumais, S.; and Liebling, D. 2010. Characterizing microblogs with topic models. In International Conference on Weblogs and Social Media.
12. Rao, D., and Yarowsky, D. 2010. Detecting latent user properties in social media. In Proceedings of the NIPS Workshop on Machine Learning for Social Networks
13. Schnoebelen, T., and Kuperman, V. 2010. Using amazon mechanical turk for linguistic research. Psihologija 43(4):441-464.
14. Wong, F.; Tan, C. W.; Sen, S.; and Chiang, M. 2013. Media, pundits and the u.s. presidential election: Quantifying political leanings from tweets. In Proceedings of the International Conference on Weblogs and Social Media.
15. Zamal, F. A.; Liu, W.; and Ruths, D. 2012. Homophily and latent attribute inference: Inferring latent attributes of twitter users from neighbors. In The International Conference on Weblogs and Social Media. Canada